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Job Description
Structured overview of role & requirementsAbout This Role
Develop and fine-tune text or data applications using open-source APIs and Large Language Models (LLMs).
Assist in building Retrieval-Augmented Generation (RAG) pipelines linking company databases to AI models.
Prepare and preprocess large datasets; test and optimize AI prompts; collaborate to transition experimental code to production testing.
Minimum Requirements
0–2 years of relevant experience in data science or AI development.
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or Engineering.
Proficient programming skills in Python with knowledge of Pandas, NumPy, and Scikit-Learn.
Foundational understanding of neural networks, NLP, transformer architectures, and experience with Git, Docker, and LLM application frameworks (e.g., LangGraph, OpenAI APIs).
Ideal Candidate Profile
Early-career professional focused on applied AI development with specialization in LLMs and RAG techniques.
Comfortable working under guidance to operationalize experimental AI models into testing environments.
Technically strong in Python programming and data preprocessing within healthcare or similar complex data domains.